B. Anzengruber, Nina Hochedlinger, Michael Matscheko, A. Ferscha, A. Shamiyeh, B. Klugsberger, Gamze Demireli
{"title":"MinIAttention: attention management in minimal invasive surgery using an IoT synchronization approach","authors":"B. Anzengruber, Nina Hochedlinger, Michael Matscheko, A. Ferscha, A. Shamiyeh, B. Klugsberger, Gamze Demireli","doi":"10.1145/3131542.3140270","DOIUrl":null,"url":null,"abstract":"Laparoscopy and endoscopy have revolutionized the state of the art in surgical health care. Still, the associated higher complexity of the operating procedure leads to suboptimal or even erroneous surgical outcomes of minimal invasive surgery (MIS). Our work aims at evaluating and reducing MIS surgeons' cognitive load by observing their bio features and linking them to their psycho physiological triggers. In this way, we aim at detecting the current cognitive load and attention of surgeons to give them unobtrusive feedback when detecting suboptimal levels of cognitive load.","PeriodicalId":166408,"journal":{"name":"Proceedings of the Seventh International Conference on the Internet of Things","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Seventh International Conference on the Internet of Things","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3131542.3140270","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Laparoscopy and endoscopy have revolutionized the state of the art in surgical health care. Still, the associated higher complexity of the operating procedure leads to suboptimal or even erroneous surgical outcomes of minimal invasive surgery (MIS). Our work aims at evaluating and reducing MIS surgeons' cognitive load by observing their bio features and linking them to their psycho physiological triggers. In this way, we aim at detecting the current cognitive load and attention of surgeons to give them unobtrusive feedback when detecting suboptimal levels of cognitive load.
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